University campuses are increasingly relying on wireless communication as the preferred media to access the web. Hence, there is a need to conduct on site performance evaluation on the existing wireless standards with the view of analyzing their expected and actual performance. In this paper, a drive-test was performed on three (3) wireless standards of LTE Release 8, 3G and Television White Space (TVWS). The drive-test was performed in both in-building and outdoor environments in a sub-urban campus settings. Results from LTE Release 8, 3G indicate that user mobility affects the received user throughput and Reference Signal Strength Indicator (RSSI). The test cases are executed by using a real LTE user equipment, equipped with ASCOM's TEMS software on a live 3G and 4G mobile networks for the both Malaysian mobile service providers; Maxis and Celcom. The results showed sufficient coverage within the campus area from both operators. On the other hand, results from field experiment indicate that TVWS is available on the campus. TVWS presents significant new opportunities within the context of emerging 4G networks for deploying new wireless access technology capable of meeting students expectation in terms of throughput and increasing broadband access for the fraction when the legacy 4G networks experience coverage blackout.

Strategies to acquire white space information is the single most significant functionality in cognitive radio networks (CRNs) and as such, it has gone some evolution to enhance information accuracy. The evolution trends are spectrum sensing, prediction algorithm and recently, geo-location database technique. Previously, spectrum sensing was the main technique for detecting the presence/absence of a primary user (PU) signal in a given radio frequency (RF) spectrum. However, this expectation could not materialized as a result of numerous technical challenges ranging from hardware imperfections to RF signal impairments. To convey the evolutionary trends in the development of white space information, we present a survey of the contemporary advancements in PU detection with emphasis on the practical deployment of CRNs i.e. Television white space (TVWS) networks. It is found that geo-location database is the most reliable technique to acquire TVWS information although, it is financially driven. Finally, using financially driven database model, this study compared the data-rate and spectral efficiency of FCC and Ofcom TV channelization. It was discovered that Ofcom TV channelization outperforms FCC TV channelization as a result of having higher spectrum bandwidth. We proposed the adoption of an allinclusive TVWS information acquisition model as the future research direction for TVWS information acquisition techniques.

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With the rise in smart devices communicating on internet, there is a huge demand in the delivery of internet bandwidth to fulfil subscribers’ aspirations. It is therefore important for internet network providers to understand the subscribers’ behavioural pattern in terms of internet bandwidth usage so as to meet up with the continuous rise in its demand. This research introduces the schematics of an android application effectively communicating with a remote database; Firebase cloud service. The classification of the subscribers’ internet traffic bandwidth consumption enables the android application to generate dataset of bandwidth utilization patterns of volunteered subscribers’ device which are grouped into 4 classes; A, B, C and D representing very high, high, medium and low data usage respectively. The collection of internet bandwidth usage of subscribers was recorded at intervals of every hour into the remote database in Firebase cloud.